Exact cluster dynamics of indirect reciprocity in complete graphs
Minwoo Bae, Takashi Shimada, Seung Ki Baek

TL;DR
This paper analyzes the dynamics of indirect reciprocity norms in complete graphs, revealing how certain assessment rules lead to segregation or widespread cooperation, and clarifies the conditions under which social balance emerges.
Contribution
It provides an exact analytical study of cluster dynamics for indirect reciprocity norms, especially Stern Judging, in complete graphs, highlighting their effects on cooperation and segregation.
Findings
Balance corresponds to stationarity only for L4 and L6.
Stern Judging tends to segregate populations into hostile groups as size increases.
L4 norm promotes widespread cooperation and positive assessments.
Abstract
Heider's balance theory emphasizes cognitive consistency in assessing others, as is expressed by ``The enemy of my enemy is my friend.'' At the same time, the theory of indirect reciprocity provides us with a dynamical framework to study how to assess others based on their actions as well as how to act toward them based on the assessments. Well known are the ``leading eight'' from L1 to L8, the eight norms for assessment and action to foster cooperation in social dilemmas while resisting the invasion of mutant norms prescribing alternative actions. In this work, we begin by showing that balance is equivalent to stationarity of dynamics only for L4 and L6 (stern judging) among the leading eight. Stern judging reflects an intuitive idea that good merits reward whereas evil warrants punishment. By analyzing the dynamics of Stern Judging in complete graphs, we prove that this norm almost…
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · advanced mathematical theories
